Karol Hausman

収録論文 54本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
  2026/4/1
• $π^{*}_{0.6}$: a VLA That Learns From Experience
  2025/11/18
• $\pi^{*}_{0.6}$: a VLA That Learns From Experience
  2025/11/1
• $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
  2025/4/1
• π0: A Vision-Language-Action Flow Model for General Robot Control
  2024/10/1
• GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
  2024/4/1
• RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
  2024/3/1
• PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
  2024/2/1
• AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
  2024/1/1
• SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention
  2023/12/1
• Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
  2023/12/1
• What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
  2023/12/1
• Foundation Models in Robotics: Applications, Challenges, and the Future
  2023/12/1
• Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
  2023/12/1
• RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
  2023/11/1
• RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
  2023/11/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
  2023/9/1
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
  2023/7/1
• Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
  2023/5/1
• Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
  2023/3/1
• PaLM-E: An Embodied Multimodal Language Model
  2023/3/1
• Open-World Object Manipulation using Pre-trained Vision-Language Models
  2023/3/1
• Scaling Robot Learning with Semantically Imagined Experience
  2023/2/1
• RT-1: Robotics Transformer for Real-World Control at Scale
  2022/12/1
• Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
  2022/11/1
• Code as Policies: Language Model Programs for Embodied Control
  2022/9/1
• Inner Monologue: Embodied Reasoning through Planning with Language Models
  2022/7/1
• Offline Reinforcement Learning at Multiple Frequencies
  2022/7/1
• Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
  2022/4/1
• Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
  2022/3/1
• How to Leverage Unlabeled Data in Offline Reinforcement Learning
  2022/2/1
• Autonomous Reinforcement Learning: Formalism and Benchmarking
  2021/12/1
• AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
  2021/11/1
• Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
  2021/9/1
• Autonomous Reinforcement Learning via Subgoal Curricula
  2021/7/1
• MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
  2021/4/1
• Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
  2021/4/1
• Confidence-rich grid mapping
  2020/6/1
• Modeling Long-horizon Tasks as Sequential Interaction Landscapes
  2020/6/1
• Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
  2020/4/1
• Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
  2020/4/1
• Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
  2020/4/1
• Gradient Surgery for Multi-Task Learning
  2020/1/1
• Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
  2019/10/1
• Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
  2019/10/1
• Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
  2019/10/1
• Dynamics-Aware Unsupervised Discovery of Skills
  2019/7/1
• Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
  2018/10/1
• Scaling simulation-to-real transfer by learning composable robot skills
  2018/9/1
• Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
  2017/5/1
• Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
  2017/3/1
• Interactive Perception: Leveraging Action in Perception and Perception in Action
  2016/4/1
• Observability-Aware Trajectory Optimization for Self-Calibration with Application to UAVs
  2016/4/1